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| Job Location | Kolkata |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Recruitment Services |
| Functional Area | IT Operations / EDP / MIS,DBA / Datawarehousing |
| EmploymentType | Full-time |
Consulting with internal clients on how data can be optimised with further data / analytics, andrecommending creative ways it can drive genuine value to the business. Building analytics models using a range of data science approaches, such as MachineLearning (e.g. Random Forests & XGBoost), Statistical techniques (e.g. A/B testing, sig-testing, ANOVA, correlation etc), along with wider analytical approaches such as Time Series &analytics with unstructured data e.g. Natural language processing. Conducting analytics on market research data, such as Segmentation (Factor Analysis andCluster Analysis), and key driver analysis (e.g. Correlations and Multinomial LogisticRegression). Ensuring consistent, accurate and quality analysis is delivered; managing development tasksto create new products for the group; ensuring projects are delivered in a timely, profitable andsuccessful manner. Working with the UK office on a number of projects simultaneously, with different teams andlevels of complexity Synthesising and communicating information and models in a clear, compelling andcommercially-relevant way Ensuring our offer is kept up-to-date by appraising new techniques and models, anddiscussing with internal colleagues.Ensuring compliance with GDPR and other data privacy and protection regulations, by liaisingwith management and IT.Location: KolkataState: KolkataCreated Date: 18-12-2019Experience Requirements: Commercial skills An ability to communicate clearly to internal clients, discussing and advising on businessobjectives Proven track record of how results can be deployed within businesses To take a flexible approach to workload, to work autonomously when required, demonstratingthe ability to prioritise and organise and remain calm under pressure Continuous improvement in a fast-moving field, the desire to stay on top of new techniquesand tools is essentialTechnical / Advanced Analytics skills Must demonstrate a strong working knowledge of advanced analytical techniques, such asregression, segmentation, machine learning, natural language processing, text analytics, andtime-series modelling Experience of a wide variety of technologies including: R and/or Python, and SQL. A workingknowledge of Hadoop, Spark or similar would be beneficial. Understanding and experience with cloud infrastructures such as AWS and how to integrateR/Python analytical workflows would be highly desirable. Proven track record with accessing and manipulating client customer databases / data lakes,and web scraping tools and techniques.Software skills Analytics: R or Python programming with SQL for data manipulation Should be a strong user of MS Excel, and MS PowerPoint Will require strong SPSS skills using SyntaxSalary Range: As Per Industry Standards.Openings: 1,
Keyskills :
unstructured dataweb scrapingtime seriesdata sciencemachine learningnatural language processingflexible approachtext analyticsnatural languagequality analysisdata privacymarket researchdata manipulationab testing